When sending a message to a thread from the Agents chat UI, the run used
the OAuth profile email (which can be a personal account that isn't an org
member). For Slack-originated threads resumed from the UI, auth routes
through the email-based path and fails ("Could not find a LangSmith account").
Resolve the run email via the GitHub->email mapping first, falling back to
the profile email only when no mapping exists, matching the github-source
auth path.
* feat: surface all of a user's agent threads in the Agents UI
Previously the Agents UI only listed and allowed opening threads with
source=dashboard. Threads triggered from GitHub, Slack, or Linear were
hidden and could not be opened.
- Persist owner-identifying metadata (source, github_login,
triggering_user_email, source_context) onto the thread for each
webhook-triggered main-agent run via upsert_agent_thread_owner_metadata,
resolving a github_login from the triggering email where possible.
- Relax dashboard thread listing/ownership to surface github/slack/linear
threads owned by the logged-in user (matched by github_login or email),
and preserve the original source + reply-routing context when continuing
such threads from the UI.
- Add a source field to the thread summary and render a source icon
(GitHub/Slack/Linear) on thread items in the sidebar and run cards.
* Normalize triggering email when persisting thread owner metadata
Mixed-case Slack/Linear emails were stored verbatim, but the dashboard
searches with a lowercased value, so those threads never surfaced for
their owner. Normalize at write time to match _thread_owner_email.
* fix(dashboard): stream agent tokens to the Agents UI
The dashboard SSE endpoint was serializing the SDK's `StreamPart`
namedtuple via `str(part)`, so every event arrived at the browser
with `event = "StreamPart(event='values', data=..., id=None)"`. The
frontend's `event.startsWith("messages")` branch never fired and
every event fell through to a query refetch — which is why tool
calls appeared to stream (state refetch) but assistant text did not.
Also opt the run into `messages-tuple` stream mode so the server
actually buffers per-token `AIMessageChunk` events, and forward
`Last-Event-ID` so reconnects resume the in-flight run instead of
restarting from `seq=0`.
* fix(dashboard): drop unsupported stream_mode arg from join_stream
threads.join_stream's stream_mode is a ThreadStreamMode literal
(run_modes/lifecycle/state_update); passing run-level modes is
invalid. The default 'run_modes' already replays the modes the
run was created with, which we set correctly on runs.create.
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
* feat(ui): add Agents chat UI ported from open-swe-app
Introduce a Cursor-style Agents surface separate from the dashboard, with ported chat/diff components and mock thread data until LangGraph APIs land.
Co-authored-by: Cursor <cursoragent@cursor.com>
* feat(dashboard): wire Agents UI to LangGraph thread APIs
Add dashboard thread list/detail/run/message/stream endpoints with a LangGraph message adapter, dashboard OAuth auth for runs, and TanStack Query hooks replacing mock data.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(dashboard): single agent reply per turn in Agents UI
Use UUID thread IDs LangGraph accepts, skip confirming_completion for
dashboard threads, and merge adapter agent messages so duplicate bubbles
do not render.
Co-authored-by: Cursor <cursoragent@cursor.com>
* feat(ui): polish Agents UI with floating prompt and layout cleanup
Remove no-op chrome (git panel, headers, sidebar search), port CloudPromptBar
from open-swe-app, and refine chat layout so messages scroll behind the input.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(agent): patch deepagents reducer for None messages on checkpoint replay
LangGraph thread state could 500 when cancelled runs left messages as None.
Apply the reducer guard before graph import, fall back to metadata in the
dashboard API, and adjust Agents prompt bar layout.
Co-authored-by: Cursor <cursoragent@cursor.com>
* feat(ui): unify sidebar user menu and clean up Agents UI navigation
Extract SidebarUserMenu so the dashboard and Agents sidebars render the
same profile button, drop the redundant Agents nav row in favor of the
existing Back to Agents link, add the open-swe logo header to the Agents
sidebar, flatten the New Agent button, and cap the home screen run list
to keep the prompt input in view.
* feat(ui): resizable/collapsible sidebar shared across dashboard and Agents
Add a useSidebarLayout hook + SidebarFrame wrapper so both sidebars
share a persisted width (default 260px, drag to resize, 200-420 range)
and a collapse toggle that hides the panel and surfaces a floating
reopen button. Also adds a DELETE /threads/{id} endpoint and an X-on-
hover thread delete control in the Agents sidebar.
* feat(ui): instant user message and busy indicator on Agents transition
Stash submitted prompts in sessionStorage, pre-populate the new thread
detail cache, and merge pending prompts into the rendered message list
so the Agents page renders the user bubble plus the existing thinking
spinner immediately instead of flashing a skeleton and "Agent is
starting" while the run boots.
* feat(ui): token-stream agent replies in the Agents thread view
Opt the LangGraph runs into messages-tuple streaming and forward those
events through the existing SSE channel. The frontend now applies
AIMessageChunk deltas directly to the cached thread (cancelling any
in-flight refetch first so optimistic tokens are not clobbered) and
keeps positional pending prompts so the user bubble stays in the right
place while the agent streams its reply.
* fix(dashboard): await threads.join_stream before iterating
threads.join_stream is async def returning an AsyncIterator, so it must
be awaited before async for. The SSE endpoint was raising
TypeError: 'async for' requires an object with __aiter__ method, got
coroutine on every connection.
* fix(dashboard): drop messages-tuple stream_mode that broke thinking-mode tool turns
Setting stream_mode=["values","messages-tuple","updates"] on
runs.create forces langchain_anthropic into streaming, and on the
second model call (after tool execution) its serialized thinking
blocks come back malformed, so Anthropic rejects the request with
'messages.1.content.0.thinking.thinking: Field required'. Revert to
the default stream_mode so claude-opus thinking + tool use runs to
completion. The frontend keeps the messages-event handler in place
as a no-op fallback for when streaming is re-enabled.
* feat(agents): per-thread model picker wired through to the run
Add optional model_id/effort to the create-thread and send-message
request bodies, forward them as agent_model_id/agent_effort in the
LangGraph run configurable, and record the resolved choice in thread
metadata so the UI can show the model the run is actually using.
get_agent now picks the per-thread override last (highest priority over
team default + profile override) and falls back gracefully when it is
absent or unsupported.
The frontend prompt bar becomes a controlled component fed by a
shared useModelOptions hook (options + profile -> defaultSelection).
AgentsHome seeds the picker from the user's profile default; the
thread view seeds from the thread's recorded model/effort and lets
each follow-up retarget the run.
* refactor(ui): align Agents prompt bar layout with open-swe-app PromptBar
Drop the absolute-positioned send button, restore the original
px-4 py-3.5 min-h-[106px] flex-col container, and move the model
picker into a mt-auto pt-2 footer row so the placeholder text and
the model selector share the same horizontal padding.
* chore: fix lint/format CI failures
Remove unused imports and reformat two files flagged by ruff.
* fix(tests): stop messages-reducer patch tests from polluting the suite
Restore agent modules after reducer patch tests and import LangSmithSandbox
from agent.server in proxy refresh tests so isinstance checks stay valid.
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
